Cultural Competence

An absolute quantification atlas of small non-coding RNAs across diverse mammalian tissues and cell lines.

The low quantitative accuracy of conventional small noncoding RNA sequencing (sncRNA-seq) methods due to extensive ligation bias commonly limits functional investigation of microRNAs (miRNAs) and PIWI-interacting RNAs (piRNAs). Here, we develop 4NBoost, a single-tube sncRNA-seq protocol designed to minimize bias in the estimated absolute quantification of miRNA and piRNA transcripts through the in...

RenoTrue: A diabetes-specific machine learning model to estimate glomerular filtration rate for people with diabetes.

BACKGROUND: Existing methods for estimating GFR in people with diabetes have shown inaccuracies when compared to mGFR measurements. We developed and validated an artificial neural network - RenoTrue to improve estimating GFR in people with diabetes. METHODS: 5,619 individuals from five international cohorts with type 1 and type 2 diabetes was split into training (70%), validation (10%) and test (2...

Bias and Oversight in Clinical AI: A Review of Decision Support Tools and Equity Frameworks.

Artificial intelligence (AI) decision support tools (DSTs) are increasingly used across clinical settings to improve efficiency and support decision-m...

Augmenting Surgical Preparation: How Learners Use Artificial Intelligence to Prepare for the Operating Room.

INTRODUCTION: Surgical trainees are increasingly using large language models (LLMs) for clinical and surgical preparation. However, there has been les...

Ethical and Bioethical Issues in Physical Therapy: A Systematic Scoping Review.

IMPORTANCE: Ethical and bioethical issues are central to the identity and practice of physical therapy. A comprehensive overview of how these issues a...

Design of novel enzymes with the incorporation of noncanonical amino acids.

Enzymes are highly efficient biocatalysts known for their chemical, regio-, and stereoselectivity, making them valuable in industrial applications. Wh...

The Role of Machine Learning in Talent Identification for Team Sports: A Systematic Review.

Talent identification (TID) in team sports is complex, influenced by biological, technical, psychological, and socio-cultural factors. Machine learnin...

Using natural language processing to extract information from clinical text in electronic medical records for populating clinical registries: a systematic review.

OBJECTIVE: Clinical registries advance healthcare by tracking patient outcomes and intervention safety. Manually extracting information from clinical ...

Artificial intelligence and computer-aided diagnosis in diagnostic decisions: 5 questions for medical informatics and human-computer interface research.

OBJECTIVES: Artificial intelligence (AI) has the potential to transform medical informatics by supporting clinical decision-making, reducing diagnosti...

Seeing Is Believing? Exploring Gender Bias in Artificial Intelligence Imagery of Specialty Doctors.

BACKGROUND: In medicine and medical education, women are disproportionately affected by gender bias. Artificial intelligence (AI) is increasingly bein...

Diversity of FAAL enzymes and prediction of their substrate specificity using FAALPred.

FAALs (fatty acyl-AMP ligases) recruit and incorporate fatty acids during the biosynthesis of secondary metabolites. Their diversity, distribution, an...

Ethics Education in Neonatology: Integrating Theory, Multimodal Methods, and AI Innovation.

This review examines current approaches to ethics education in neonatal-perinatal medicine (NPM), integrating adult learning theory, diverse teaching ...

Revisiting reliability with human and machine learning raters under scoring design and rater configuration in the many-facet Rasch model.

Constructed-response (CR) items are widely used to assess higher order skills but require human scoring, which introduces variability and is costly at...

Investigation of Bias Using ChatGPT-4 in Pain Management and Patient Profiling.

BACKGROUND: Large language models, such as ChatGPT (cGPT), are being integrated increasingly into clinical workflows and medical education. However, c...

Predictive Performance of Artificial Intelligence Algorithms for Gestational Diabetes Mellitus in Pregnant Women: Systematic Review and Meta-Analysis.

BACKGROUND: Gestational diabetes mellitus (GDM) is a common complication during pregnancy, with its incidence increasing year by year. It poses numero...

Evaluating AI-Generated Geriatric Case Studies for Interprofessional Education: Systematic Analysis Across 5 Platforms.

BACKGROUND: Simulation-based learning (SBL) has become standard practice in educating health care professionals to apply their knowledge and skills in...

Medicolegal Implications and Current Landscape of Artificial Intelligence in Plastic Surgery.

Artificial intelligence (AI) is increasingly integrated into plastic and reconstructive surgery. It supports preoperative prediction and imaging analy...

Characterization of Models for Identifying Physical and Cognitive Frailty in Older Adults With Diabetes: Systematic Review and Meta-Analysis.

BACKGROUND: Physical frailty and cognitive frailty are increasingly recognized as critical geriatric syndromes among older adults with diabetes, contr...

Engineering class I terpene synthases for skeletal diversity: strategies and applications.

Covering: up to August 2025Terpenoids constitute nature's largest and most structurally diverse class of natural products, with extensive applications...

Multi-model Artificial Intelligence Evaluation in Sudden Sensorineural Hearing Loss.

OBJECTIVE: To compare the diagnostic accuracy, linguistic clarity, and user satisfaction of three large language models (ChatGPT-4.0, Claude 3.7 Sonet...